Publications by authors named "U A Boyarskikh"

Detecting copy number variations (CNVs) and alterations (CNAs) in the and genes is essential for testing patients for targeted therapy applicability. However, the available bioinformatics tools were initially designed for identifying CNVs/CNAs in whole-genome or -exome (WES) NGS data or targeted NGS data without adaptation to the genes. Most of these tools were tested on sample cohorts of limited size, with their use restricted to specific library preparation kits or sequencing platforms.

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Purpose: To develop a method for testing the MSI based on targeted NGS.

Methods: Based on the results of previous studies, 81 microsatellite loci with high variability in MSI-H tumors were selected, and a method for calculating the MSI score was developed. Using the MSI score, we defined the MSI status in endometral (162), colon (153), and stomach (190) cancers.

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The standard for detecting chimeric genes of neurotrophic receptor tyrosine kinases (NTRK) is next generation sequencing (NGS). However, this analysis is expensive and takes several days. As a rapid screening method for the detection of NTRK3-dependent papillary thyroid cancer, an analysis of the expression imbalance between 5' and 3' NTRK3 mRNA fragments was used (5'/3' RT-PCR).

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The development, registration, and further use of entrectinib and larotrectinib for the treatment of tumors resulting from oncogenic stimulation of chimeric neurotrophin receptors (TRK) attracted much interest to the mechanisms of tumor cells resistance to TRK inhibitors during treatment. In the presented study, a cell line carrying the chimeric gene ETV6-NTRK3 (HFF-EN) was created on the basis of human fibroblasts. The transcription level of the chimeric ETV6-NTRK3 gene in HFF-EN was comparable to the transcription level of the household ACTB gene, the expression of the ETV6-NTRKA protein was confirmed by immunoblotting.

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For tumors with chimeric NTRK genes, entrectinib and larotrectinib can be prescribed regardless of tumor localization. We compared changes in the transcriptional activity of genes in brain tumors (BT) and thyroid cancer (TC) with rearrangement (NTRK+) and without rearrangement (NTRK-) of the NTRK genes using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We revealed an increase in the transcription of the JUN gene in NTRK+ samples in comparison with NTRK- samples: by 1.

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